Agm-data Scientist

1 hour ago

Hyderabad Telangana, India Vodafone Idea Full time

Job Req ID: 47377
- Location: Hyderabad, IN
- Function: Technology/ IOT/Cloud
- About:

- **Role Overview**:
**Key Responsibilities**:

- Design and build robust, scalable, and secure **data pipelines** (batch and real-time) to support AI/ML workloads and BI dashboards.
- Collaborate with data scientists to **operationalize ML models**, including containerization (Docker), CI/CD pipelines, model serving (FastAPI/Flask), and monitoring.
- Develop and maintain **interactive dashboards** using tools such as **Plotly Dash, Power BI, or Streamlit** to visualize key insights for business stakeholders.
- Manage deployments and orchestration on **Vi’s local private cloud infrastructure (VM-based setups)**.
- Work closely with analytics, business, and DevOps teams to ensure reliable data availability and system health.
- Optimize ETL/ELT workflows for performance and scale across large telecom datasets.
- Implement data quality checks, governance, and logging/monitoring solutions for all production workloads.

**Required Qualifications & Skills**:

- **8+ years** of experience in data engineering, platform development, and/or ML deployment.
- Prefered B.Tech/M.Tech from **Tier-1 or Tier-2 institutes (IITs, NITs, IIITs, BITS, etc.)**.
- Strong proficiency in **Python**, **SQL**, and **data pipeline frameworks** (Airflow, Luigi, or similar).
- Solid experience with **containerization** (Docker), scripting, and deploying production-grade ML or analytics services.
- Hands-on experience with **dashboarding and visualization tools** such as:

- **Power BI / Tableau / Streamlit**
- Custom front-end dashboards (nice to have)
- Experience working on **self-managed VMs, bare-metal servers, or local private clouds** (not just public cloud services).
- Familiarity with **ML deployment architectures**, REST APIs, and performance tuning.

**Preferred Skills**:

- Experience with **Kafka, Spark, or distributed processing systems**.
- Exposure to **MLOps tools** (MLflow, DVC, Kubeflow).
- Understanding of **telecom data** and analytics use cases.
- Ability to lead and mentor junior engineers or analysts.

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